AI Infrastructure Architect, GPU HPC & Data Center

SHI International Corporation

United States

Remote

USD 100,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Wellness programs
Financial benefits
World-class facilities

Job summary

SHI International Corp. is seeking a highly technical Solutions Engineer specializing in AI Infrastructure to support presales and design AI data center solutions based on NVIDIA DGX systems and OEM platforms.

You will collaborate with AGT and SHI account teams to translate business requirements into optimized infrastructure, BOMs, and performance recommendations. The role demands deep GPU-accelerated computing expertise, data center architecture know-how, and the ability to guide customers from

Qualifications

  • Experience in complex Data Center sales opportunities.
  • Ability to design data center infrastructures including hybrid cloud and SDDC.
  • Strong knowledge of virtualization, servers, storage, networking, and cooling.
  • Proven track record in presales engineering for AI/data center solutions.

Responsibilities

  • Serve as the primary AI Infrastructure SME for NVIDIA DGX platforms and OEM AI solutions.
  • Design tailored AI data center solutions through workshops and technical consultations.
  • Create detailed hardware configurations with BOMs and scalability considerations.
  • Deliver POCs, demonstrations, and technical presentations to customers and internal teams.
  • Collaborate with vendors and account teams to stay current on products and roadmaps.

Skills

AI Infrastructure
Data Center
Presales Engineering
NVIDIA DGX
GPU Technologies
HPC workloads

Education

Bachelor's Degree or equivalent

Tools

NVIDIA DGX platforms
OEM AI servers
BOM creation
TensorFlow
PyTorch

Job description

SHI International Corp. is seeking a highly technical Solutions Engineer specializing in AI Infrastructure to support presales and design AI data center solutions based on NVIDIA DGX systems and OEM platforms.

You will collaborate with AGT and SHI account teams to translate business requirements into optimized infrastructure, BOMs, and performance recommendations. The role demands deep GPU-accelerated computing expertise, data center architecture know-how, and the ability to guide customers from

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